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Density-aware person detection and tracking in crowds Mikel Rodriguez1,4
 

Summary: Density-aware person detection and tracking in crowds
Mikel Rodriguez1,4
Ivan Laptev2,4
Josef Sivic2,4
Jean-Yves Audibert3,4
1 ´Ecole Normale Sup´erieure 2
INRIA 3
Imagine, LIGM, Universite Paris-Est
Abstract
We address the problem of person detection and tracking
in crowded video scenes. While the detection of individ-
ual objects has been improved significantly over the recent
years, crowd scenes remain particularly challenging for the
detection and tracking tasks due to heavy occlusions, high
person densities and significant variation in people's ap-
pearance. To address these challenges, we propose to lever-
age information on the global structure of the scene and to
resolve all detections jointly. In particular, we explore con-
straints imposed by the crowd density and formulate per-
son detection as the optimization of a joint energy function

  

Source: Audibert, Jean-Yves - Département d'Informatique, École Normale Supérieure
École Normale Supérieure, Laboratoire d'Informatique, WILLOW Computer vision and machine learning research laboratory

 

Collections: Computer Technologies and Information Sciences; Engineering